Hancock Whitney (HWC) Interest Expenses (2009 - 2026)
Hancock Whitney's Interest Expenses came in at $119.88 million for Q2 2026, down 4.6% from $125.62 million a year earlier but up 3.1% from the prior quarter.
Powered by 
Analysis
Hancock Whitney (HWC) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hancock Whitney reported Interest Expenses of $490.9 million, down 10.7% year-over-year; for FY2025, it was $505.85 million, down 17.2% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $611.07 million in FY2024 (+16.9%), $522.9 million in FY2023 (+500.6%), $87.06 million in FY2022 (+77.6%) and $49.02 million in FY2021 (-57.5%).
- The five-year range for quarterly Interest Expenses is $8.32 million (Q1 2022) to $157.71 million (Q3 2024).
- Year-over-year, Interest Expenses has declined for seven consecutive quarters, with an average decline of 10.4% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q1 2023 (growth of 952.6%), and the weakest in Q3 2021 (a decline of 55.6%).
- Business Quant data shows HWC's Interest Expenses at $116.22 million (Q1 2026), $125.53 million (Q4 2025) and $129.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - | 119.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.88 Mn |
| Mar 31, 2026 | 116.22 Mn |
| Dec 31, 2025 | 125.53 Mn |
| Sep 30, 2025 | 129.28 Mn |
| Jun 30, 2025 | 125.62 Mn |
| Mar 31, 2025 | 125.42 Mn |
| Dec 31, 2024 | 140.73 Mn |
| Sep 30, 2024 | 157.71 Mn |
| Jun 30, 2024 | 157.12 Mn |
| Mar 31, 2024 | 155.51 Mn |
| Dec 31, 2023 | 157.33 Mn |
| Sep 30, 2023 | 146.59 Mn |
| Jun 30, 2023 | 131.36 Mn |
| Mar 31, 2023 | 87.61 Mn |
| Dec 31, 2022 | 50.18 Mn |
| Sep 30, 2022 | 19.43 Mn |
| Jun 30, 2022 | 9.13 Mn |
| Mar 31, 2022 | 8.32 Mn |
| Dec 31, 2021 | 9.46 Mn |
| Sep 30, 2021 | 9.71 Mn |
API Access
Hancock Whitney Interest Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=interest-expenses&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "HWC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();